AUTOPASS, AUTOMATED PARKING SUPPORT SYSTEM

This paper describes the development of AUTOPASS, an efficient automated parking support system for passenger cars. The parking motion controller involves Artificial Neural Network technology and a combination of linear feedback and feedforward control. The paper presents the results of the controller design and analysis, including parking problem analysis, feedback controller stability analysis formulation and optimal solution of the parking trajectory planning problem, and design of a novel parking motion planning architecture based on a Radial Basis Function network. Three general cases of backward parking considered in this work are emulated using the proposed controller. The emulation results reveal high efficiency of the presented approach and demonstrate that the proposed system can be implemented on a typical passenger car.

• Supplemental Notes:
  • Publication Date: 1994 Published By: Society of Automotive Engineers, Warrendale, PA
• Corporate Authors:

  University of Toronto

  Robotics and Automation Laboratory
  Toronto, Ontario  Canada 
• Authors:
  • Gorinevsky, D
  • Kapitanovsky, A
  • Goldenberg, A
• Publication Date: 1994

Language

• English

Media Info

• Pagination: 5 p.
• Serial:
  • SAE technical paper series ; 941000
  • Publisher: University of Toronto

Subject/Index Terms

• TRT Terms: Advanced vehicle control systems; Parking guidance systems
• Subject Areas: Operations and Traffic Management;

Filing Info

• Accession Number: 00785838
• Record Type: Publication
• Source Agency: UC Berkeley Transportation Library
• Files: PATH
• Created Date: Nov 17 2000 12:00AM